Tinz Twins | AI and Coding
@tinztwinshub.bsky.social
Data Scientists | We write about AI, Software Engineering and Investment Research. | Founder towardsfinance.com
👉🏽 FREE ML cheat sheets: tinztwinshub.com/blog
👉🏽 FREE ML cheat sheets: tinztwinshub.com/blog
🐼 Shifting time series with freq
December 8, 2025 at 5:43 PM
🐼 Shifting time series with freq
Everyone who wants to learn:
- Python
- Machine Learning
- Multi-Agent Systems
- Projects & Real-World Skills
- and to build a career in Tech
We hope you find our account helpful. If yes, please share this post.
- Python
- Machine Learning
- Multi-Agent Systems
- Projects & Real-World Skills
- and to build a career in Tech
We hope you find our account helpful. If yes, please share this post.
December 8, 2025 at 4:23 PM
Everyone who wants to learn:
- Python
- Machine Learning
- Multi-Agent Systems
- Projects & Real-World Skills
- and to build a career in Tech
We hope you find our account helpful. If yes, please share this post.
- Python
- Machine Learning
- Multi-Agent Systems
- Projects & Real-World Skills
- and to build a career in Tech
We hope you find our account helpful. If yes, please share this post.
🖋️ Share your unique perspective as a Magic AI writer and inspire others in the tech community.
Your voice matters!
medium.com/magic-ai/wri...
Your voice matters!
medium.com/magic-ai/wri...
Write For Us: Magic AI Guidelines
Resources for new writers to submit to Magic AI publication
medium.com
December 7, 2025 at 2:22 PM
🖋️ Share your unique perspective as a Magic AI writer and inspire others in the tech community.
Your voice matters!
medium.com/magic-ai/wri...
Your voice matters!
medium.com/magic-ai/wri...
We make our investment decisions based on data, and you should do the same.
But how?
With the tool StocksGuide, you can easily analyze stocks and make data-driven investment decisions!
Check out our review article: blog.towardsfinance.com/stocksguide-...
But how?
With the tool StocksGuide, you can easily analyze stocks and make data-driven investment decisions!
Check out our review article: blog.towardsfinance.com/stocksguide-...
December 7, 2025 at 8:44 AM
We make our investment decisions based on data, and you should do the same.
But how?
With the tool StocksGuide, you can easily analyze stocks and make data-driven investment decisions!
Check out our review article: blog.towardsfinance.com/stocksguide-...
But how?
With the tool StocksGuide, you can easily analyze stocks and make data-driven investment decisions!
Check out our review article: blog.towardsfinance.com/stocksguide-...
Docker simplifies the workflow of machine learning engineers from development to deployment.
We explain the key Docker components and show you the CLI commands we use most often in practice.
Learn more now: tinztwinshub.com/software-eng...
We explain the key Docker components and show you the CLI commands we use most often in practice.
Learn more now: tinztwinshub.com/software-eng...
December 6, 2025 at 3:57 PM
Docker simplifies the workflow of machine learning engineers from development to deployment.
We explain the key Docker components and show you the CLI commands we use most often in practice.
Learn more now: tinztwinshub.com/software-eng...
We explain the key Docker components and show you the CLI commands we use most often in practice.
Learn more now: tinztwinshub.com/software-eng...
🤖 Machine Learning is not the best solution for all problems. First, you should not start with machine learning.
Instead, do the following 👇🏽
Instead, do the following 👇🏽
December 6, 2025 at 7:08 AM
🤖 Machine Learning is not the best solution for all problems. First, you should not start with machine learning.
Instead, do the following 👇🏽
Instead, do the following 👇🏽
Free ML Books You Should Know! 🔥
1️⃣ d2l.ai
2️⃣ www.deeplearningbook.org
3️⃣ christophm.github.io/interpretabl...
4️⃣ info.deeplearning.ai/machine-lear...
5️⃣ mml-book.github.io
6️⃣ www.statlearning.com
1️⃣ d2l.ai
2️⃣ www.deeplearningbook.org
3️⃣ christophm.github.io/interpretabl...
4️⃣ info.deeplearning.ai/machine-lear...
5️⃣ mml-book.github.io
6️⃣ www.statlearning.com
December 5, 2025 at 8:01 PM
Free ML Books You Should Know! 🔥
1️⃣ d2l.ai
2️⃣ www.deeplearningbook.org
3️⃣ christophm.github.io/interpretabl...
4️⃣ info.deeplearning.ai/machine-lear...
5️⃣ mml-book.github.io
6️⃣ www.statlearning.com
1️⃣ d2l.ai
2️⃣ www.deeplearningbook.org
3️⃣ christophm.github.io/interpretabl...
4️⃣ info.deeplearning.ai/machine-lear...
5️⃣ mml-book.github.io
6️⃣ www.statlearning.com
7 Python packages for finance, YOU NEED TO KNOW! 🔥
Our favorite: OpenBB
All packages are available for FREE on GitHub.
Which would you add?
Our favorite: OpenBB
All packages are available for FREE on GitHub.
Which would you add?
December 4, 2025 at 6:51 PM
7 Python packages for finance, YOU NEED TO KNOW! 🔥
Our favorite: OpenBB
All packages are available for FREE on GitHub.
Which would you add?
Our favorite: OpenBB
All packages are available for FREE on GitHub.
Which would you add?
Reposted by Tinz Twins | AI and Coding
📈 Discover the best way to invest your money statistically!
Isn't it fascinating to think about optimizing your investments?
Isn't it fascinating to think about optimizing your investments?
December 3, 2025 at 7:54 PM
📈 Discover the best way to invest your money statistically!
Isn't it fascinating to think about optimizing your investments?
Isn't it fascinating to think about optimizing your investments?
Reposted by Tinz Twins | AI and Coding
🐍 Have you ever worked with large numbers in Python?
Which number is more readable 1000000 or 1,000,000? The second one, right?
Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,.
Let’s look at an example.
Which number is more readable 1000000 or 1,000,000? The second one, right?
Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,.
Let’s look at an example.
December 2, 2025 at 6:37 PM
🐍 Have you ever worked with large numbers in Python?
Which number is more readable 1000000 or 1,000,000? The second one, right?
Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,.
Let’s look at an example.
Which number is more readable 1000000 or 1,000,000? The second one, right?
Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,.
Let’s look at an example.
Reposted by Tinz Twins | AI and Coding
🤯 Wow, it's approximately 7000 times faster!
Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Are you looking for more Python tips?👇🏽
tinztwinshub.com/data-science...
Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Are you looking for more Python tips?👇🏽
tinztwinshub.com/data-science...
December 1, 2025 at 5:43 PM
🤯 Wow, it's approximately 7000 times faster!
Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Are you looking for more Python tips?👇🏽
tinztwinshub.com/data-science...
Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Are you looking for more Python tips?👇🏽
tinztwinshub.com/data-science...
Reposted by Tinz Twins | AI and Coding
Generate Realistic Fake Data with Faker 🔥
Faker is a Python package that makes it easy to create fake but realistic data for testing.
It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.
Faker is a Python package that makes it easy to create fake but realistic data for testing.
It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.
December 1, 2025 at 4:23 PM
Generate Realistic Fake Data with Faker 🔥
Faker is a Python package that makes it easy to create fake but realistic data for testing.
It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.
Faker is a Python package that makes it easy to create fake but realistic data for testing.
It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.
Reposted by Tinz Twins | AI and Coding
🚀 Efficient scheduling of Python functions
To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure.
More Python tips?
tinztwinshub.com/data-science...
To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure.
More Python tips?
tinztwinshub.com/data-science...
November 30, 2025 at 2:22 PM
🚀 Efficient scheduling of Python functions
To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure.
More Python tips?
tinztwinshub.com/data-science...
To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure.
More Python tips?
tinztwinshub.com/data-science...
Reposted by Tinz Twins | AI and Coding
Python List Methods - Clearly explained 🔥 .
🤔 Which of these methods do you use most often?
Share your experiences in the comments below!
🤔 Which of these methods do you use most often?
Share your experiences in the comments below!
November 30, 2025 at 8:44 AM
Python List Methods - Clearly explained 🔥 .
🤔 Which of these methods do you use most often?
Share your experiences in the comments below!
🤔 Which of these methods do you use most often?
Share your experiences in the comments below!
Reposted by Tinz Twins | AI and Coding
Protect your sensitive data! 🔥
November 29, 2025 at 3:57 PM
Protect your sensitive data! 🔥
Reposted by Tinz Twins | AI and Coding
Model View Controller (MVC) Pattern 🔥
🔍 Model: It handles the business logic and communicates with databases or other backend systems.
👀 View: It presents the data but doesn't directly interact with the model.
🔗 Controller: It processes data and updates the view with information from the model.
🔍 Model: It handles the business logic and communicates with databases or other backend systems.
👀 View: It presents the data but doesn't directly interact with the model.
🔗 Controller: It processes data and updates the view with information from the model.
November 29, 2025 at 7:08 AM
Model View Controller (MVC) Pattern 🔥
🔍 Model: It handles the business logic and communicates with databases or other backend systems.
👀 View: It presents the data but doesn't directly interact with the model.
🔗 Controller: It processes data and updates the view with information from the model.
🔍 Model: It handles the business logic and communicates with databases or other backend systems.
👀 View: It presents the data but doesn't directly interact with the model.
🔗 Controller: It processes data and updates the view with information from the model.
Reposted by Tinz Twins | AI and Coding
🌟 Discover the power of AI agents in finance!
Our curated list of LLM apps is a great starting point for your own projects.
buff.ly/o6qf2p7
Our curated list of LLM apps is a great starting point for your own projects.
buff.ly/o6qf2p7
GitHub - tinztwins/finllm-apps: Collection of impressive LLM apps with a focus on the financial sector
Collection of impressive LLM apps with a focus on the financial sector - tinztwins/finllm-apps
github.com
November 28, 2025 at 8:01 PM
🌟 Discover the power of AI agents in finance!
Our curated list of LLM apps is a great starting point for your own projects.
buff.ly/o6qf2p7
Our curated list of LLM apps is a great starting point for your own projects.
buff.ly/o6qf2p7
📈 Discover the best way to invest your money statistically!
Isn't it fascinating to think about optimizing your investments?
Isn't it fascinating to think about optimizing your investments?
December 3, 2025 at 7:54 PM
📈 Discover the best way to invest your money statistically!
Isn't it fascinating to think about optimizing your investments?
Isn't it fascinating to think about optimizing your investments?
🐍 Have you ever worked with large numbers in Python?
Which number is more readable 1000000 or 1,000,000? The second one, right?
Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,.
Let’s look at an example.
Which number is more readable 1000000 or 1,000,000? The second one, right?
Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,.
Let’s look at an example.
December 2, 2025 at 6:37 PM
🐍 Have you ever worked with large numbers in Python?
Which number is more readable 1000000 or 1,000,000? The second one, right?
Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,.
Let’s look at an example.
Which number is more readable 1000000 or 1,000,000? The second one, right?
Unfortunately, the second notation does not work in Python. However, you can use a _ instead of a ,.
Let’s look at an example.
🤯 Wow, it's approximately 7000 times faster!
Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Are you looking for more Python tips?👇🏽
tinztwinshub.com/data-science...
Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Are you looking for more Python tips?👇🏽
tinztwinshub.com/data-science...
December 1, 2025 at 5:43 PM
🤯 Wow, it's approximately 7000 times faster!
Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Are you looking for more Python tips?👇🏽
tinztwinshub.com/data-science...
Large Pandas Dataframes can consume a large amount of memory. It's fascinating how processing data in smaller chunks can help prevent running out of memory and access data faster!
Are you looking for more Python tips?👇🏽
tinztwinshub.com/data-science...
Generate Realistic Fake Data with Faker 🔥
Faker is a Python package that makes it easy to create fake but realistic data for testing.
It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.
Faker is a Python package that makes it easy to create fake but realistic data for testing.
It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.
December 1, 2025 at 4:23 PM
Generate Realistic Fake Data with Faker 🔥
Faker is a Python package that makes it easy to create fake but realistic data for testing.
It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.
Faker is a Python package that makes it easy to create fake but realistic data for testing.
It can make names, addresses, zip codes, and more. Say goodbye to making test data by hand and improve your testing with Faker.
🚀 Efficient scheduling of Python functions
To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure.
More Python tips?
tinztwinshub.com/data-science...
To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure.
More Python tips?
tinztwinshub.com/data-science...
November 30, 2025 at 2:22 PM
🚀 Efficient scheduling of Python functions
To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure.
More Python tips?
tinztwinshub.com/data-science...
To schedule Python functions with easy-to-understand and customizable scheduling statements, use Rocketry. Unlike other tools, Rocketry makes no assumptions about the project structure.
More Python tips?
tinztwinshub.com/data-science...
Python List Methods - Clearly explained 🔥 .
🤔 Which of these methods do you use most often?
Share your experiences in the comments below!
🤔 Which of these methods do you use most often?
Share your experiences in the comments below!
November 30, 2025 at 8:44 AM
Python List Methods - Clearly explained 🔥 .
🤔 Which of these methods do you use most often?
Share your experiences in the comments below!
🤔 Which of these methods do you use most often?
Share your experiences in the comments below!
Protect your sensitive data! 🔥
November 29, 2025 at 3:57 PM
Protect your sensitive data! 🔥
Model View Controller (MVC) Pattern 🔥
🔍 Model: It handles the business logic and communicates with databases or other backend systems.
👀 View: It presents the data but doesn't directly interact with the model.
🔗 Controller: It processes data and updates the view with information from the model.
🔍 Model: It handles the business logic and communicates with databases or other backend systems.
👀 View: It presents the data but doesn't directly interact with the model.
🔗 Controller: It processes data and updates the view with information from the model.
November 29, 2025 at 7:08 AM
Model View Controller (MVC) Pattern 🔥
🔍 Model: It handles the business logic and communicates with databases or other backend systems.
👀 View: It presents the data but doesn't directly interact with the model.
🔗 Controller: It processes data and updates the view with information from the model.
🔍 Model: It handles the business logic and communicates with databases or other backend systems.
👀 View: It presents the data but doesn't directly interact with the model.
🔗 Controller: It processes data and updates the view with information from the model.